8 citations · 46 across the 11 of their papers we have counts for
4 papers · 1 filter
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
Wenchi Ma, Miao Yu, Kaidong Li +1
Layer-wise learning, as an alternative to global back-propagation, is easy to interpret, analyze, and it is memory efficient. Recent studies demonstrate that layer-wise learning ca…
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting
Usman Sajid, Wenchi Ma, Guanghui Wang
Crowd counting in still images is a challenging problem in practice due to huge crowd-density variations, large perspective changes, severe occlusion, and variable lighting conditi…
Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection
Wenchi Ma, Kaidong Li, Guanghui Wang
In the majority of object detection frameworks, the confidence of instance classification is used as the quality criterion of predicted bounding boxes, like the confidence-based ra…
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters
Ziming Zhang, Wenchi Ma, Yuanwei Wu +1
In this paper, we investigate the empirical impact of orthogonality regularization (OR) in deep learning, either solo or collaboratively. Recent works on OR showed some promising r…